File size: 2,646 Bytes
af1874d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
{
  "best_metric": 0.8302752293577982,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-8/checkpoint-527",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2635,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 10.257322311401367,
      "learning_rate": 0.0005386391253190077,
      "loss": 1.2539,
      "step": 527
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8302752293577982,
      "eval_loss": 1.5333763360977173,
      "eval_runtime": 2.8188,
      "eval_samples_per_second": 309.352,
      "eval_steps_per_second": 2.483,
      "step": 527
    },
    {
      "epoch": 2.0,
      "grad_norm": NaN,
      "learning_rate": 0.0004042348653959536,
      "loss": 0.5485,
      "step": 1054
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.801605504587156,
      "eval_loss": 1.7583402395248413,
      "eval_runtime": 2.8148,
      "eval_samples_per_second": 309.788,
      "eval_steps_per_second": 2.487,
      "step": 1054
    },
    {
      "epoch": 3.0,
      "grad_norm": 25.133913040161133,
      "learning_rate": 0.0002695750840662017,
      "loss": 0.3506,
      "step": 1581
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8096330275229358,
      "eval_loss": 1.8196579217910767,
      "eval_runtime": 2.8113,
      "eval_samples_per_second": 310.174,
      "eval_steps_per_second": 2.49,
      "step": 1581
    },
    {
      "epoch": 4.0,
      "grad_norm": 8.44449234008789,
      "learning_rate": 0.00013491530273644975,
      "loss": 0.2467,
      "step": 2108
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8107798165137615,
      "eval_loss": 1.8072972297668457,
      "eval_runtime": 2.8135,
      "eval_samples_per_second": 309.934,
      "eval_steps_per_second": 2.488,
      "step": 2108
    },
    {
      "epoch": 5.0,
      "grad_norm": 8.500100135803223,
      "learning_rate": 2.555214066978215e-07,
      "loss": 0.19,
      "step": 2635
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8153669724770642,
      "eval_loss": 1.8087736368179321,
      "eval_runtime": 2.8195,
      "eval_samples_per_second": 309.277,
      "eval_steps_per_second": 2.483,
      "step": 2635
    }
  ],
  "logging_steps": 500,
  "max_steps": 2635,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 40447180739880.0,
  "train_batch_size": 128,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.31906439494819705,
    "learning_rate": 0.0006732989066487597,
    "num_train_epochs": 5,
    "temperature": 15
  }
}